Container
Use the Container integration for running a script that’s packaged in a container to remediate an incident.
Last updated
Use the Container integration for running a script that’s packaged in a container to remediate an incident.
Last updated
In today's world, we often come across scripts (e.g. Bash, Python scripts) and code in Containers that is being used in remediating problems in the infrastructure. With this integration we support executing these scripts in our workflows and help users connect these scripts to other services available in Fylamynt.
Note that the container images used in this action node need to be set up according to https://aws.amazon.com/blogs/aws/new-for-aws-lambda-container-image-support/
Additionally, the target account role needs to have its Trust Relationships updated to allow access to the AWS lambda service, and an updated Condition clause as shown.
The Container integration lets you:
Configure a container registry.
Pick a Docker image and version that’s available in the registry.
Pass any input to the Docker image in a text box. The input is directly passed as input when running the container.
Enter resource requirements for the container
CPU (specified in CPU units).
MEM (specified in MB)
Drag the Container Action node onto the workflow editor canvas
Select Alias for the target account in the dropdown
Select Repository from the dropdown
Select Image from the dropdown
Input
Output
Parameter Name
Description
Required
alias
Target account alias for running the container
True
repository
Container repository in the alias target account
True
image
Container image SHA256 in the selected repository
True
bucket
S3 bucket for log output from container run
False
command
extra command arguments
False
entry_point
Image entry point
False
memory_size
Memory size for container run, default is 128 MBytes
False
timeout
Timeout in seconds for the run, default is 900 seconds
False
working_directory
Working directory for the run
False
Parameter Name
Type
Description
bucket
String
S3 bucket in which log files are stored (if specified in inputs)
key
String
S3 key of log file (if a bucket was specified)
output
String
output from the run
log
String
Last 4 KB of the execution log of the run